Senior Agentic Software Engineer

The MITRE Corporation • Huntsville, AL

1d • $129,200 - $193,800 • Hybrid

About The Position

MITRE is seeking a Senior Agentic Software Engineer to design, build, secure, and operate mission-focused software systems and data platforms using state-of-the-art agentic and AI-enabled software development techniques. In this role, you’ll apply modern tools and practices to develop prototypes and field-ready capabilities, advise sponsors on effective adoption, and help establish guidance, best practices, and guardrails for responsible use. You’ll deliver features and technical solutions, shape system architecture and engineering process improvements, and lead both sustained program execution and rapid response mission needs. The applicant should be prepared to work across multiple domain areas and to support a mix of standard program work and urgent, high-impact enablement tasks as organizational priorities evolve. Areas of engagement may include Design, develop, test, and deploy mission software and data platforms using agentic/AI-assisted workflows with clear human accountability and review. Stand up and operate agentic development toolchains (code/test/review agents, copilots, automation bots) integrated into standard engineering practices. Rapidly prototype mission capabilities with agentic methods and mature them into production-grade systems (security, reliability, scalability, observability). Define, implement, and enforce guardrails for agentic engineering (approved tools/models, data handling, secrets, provenance, auditability, safe prompting). Establish evaluation and quality gates for AI-generated artifacts (tests, static/security analysis, coding standards, CI checks, acceptance criteria). Architect, build, and operate distributed cloud systems (AWS/multi-cloud) using agentic techniques to manage performance, resilience, cost, and troubleshooting. Design and integrate APIs, backend services, and data flows; build and operate data pipelines and orchestration where applicable. Automate DevSecOps and CI/CD with AI-aware controls (supply-chain security, dependency/container/IaC scanning, SAST/DAST, policy-as-code) and repeatable releases. Produce and maintain documentation, runbooks, and compliance-ready evidence for AI-assisted engineering, including observability integrations (e.g., Splunk).

Requirements

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute to this job step
• Entrepreneurial, innovative, and collaborative spirit and the curiosity to explore and push the boundaries of software development and software solutions
• Strong software engineering fundamentals and Python proficiency, including secure coding, code review, automated testing, and maintainable design patterns
• Hands-on experience using agentic/AI-assisted development tools (e.g., copilot, code agents, test generation, PR review automation) and integrating them into the Software Development Life Cycle
• Experience designing guardrails for AI-enabled engineering (tool/model selection, prompt/context hygiene, secrets handling, provenance, auditability, and policy/compliance constraints)
• Experience establishing quality/evaluation practices for AI-generated outputs (automated checks, unit/integration tests, static/security analysis, and human-in-the-loop review standards)
• Leadership/enablement skills: mentoring, setting engineering standards, and advising stakeholders/customers on responsible adoption and change management
• Eligible to obtain and maintain a Secret clearance
• U.S Citizen to be considered for a security clearance
• This position requires a minimum of 50% hybrid on-site

Nice To Haves

• Advanced degree within technical discipline; Software Engineering, Computer Science, Computer Engineering, Mathematics, etc.
• Active Top-Secret clearance preferred
• Proven experience building, deploying and operating LLM/agent systems (e.g., RAG, tool/function calling, orchestration frameworks) in production, including constrained/classified environments
• Mature evaluation and quality practices for LLMs/agents (e.g., golden sets, regression benchmarking, judge models; hallucination/jailbreak resistance and task success metrics)
• Platform engineering/DevSecOps expertise: CI/CD delivery platforms, artifact management, and software supply-chain/provenance controls (e.g., SBOMs, signing/attestation/SLSA, policy-as-code)
• Cloud-native operations depth across Kubernetes and IaC/multi-cloud, with strong observability (tracing/logs/agent telemetry, audit logging/Splunk) and MLOps/model serving (hosting, gatewaying, rate/cost controls, monitoring)

Responsibilities

• Design, develop, test, and deploy mission software and data platforms using agentic/AI-assisted workflows with clear human accountability and review
• Stand up and operate agentic development toolchains (code/test/review agents, copilots, automation bots) integrated into standard engineering practices
• Rapidly prototype mission capabilities with agentic methods and mature them into production-grade systems (security, reliability, scalability, observability)
• Define, implement, and enforce guardrails for agentic engineering (approved tools/models, data handling, secrets, provenance, auditability, safe prompting)
• Establish evaluation and quality gates for AI-generated artifacts (tests, static/security analysis, coding standards, CI checks, acceptance criteria)
• Architect, build, and operate distributed cloud systems (AWS/multi-cloud) using agentic techniques to manage performance, resilience, cost, and troubleshooting
• Design and integrate APIs, backend services, and data flows; build and operate data pipelines and orchestration where applicable
• Automate DevSecOps and CI/CD with AI-aware controls (supply-chain security, dependency/container/IaC scanning, SAST/DAST, policy-as-code) and repeatable releases
• Produce and maintain documentation, runbooks, and compliance-ready evidence for AI-assisted engineering, including observability integrations (e.g., Splunk)

Benefits

• competitive benefits
• exceptional professional development opportunities for career growth
• culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership
• meaningful learning and growth opportunities
• competitive benefits
• exceptional professional development
• culture of innovation that values flexibility, collaboration, and career growth

What This Job Offers

• Job Type: Full-time
• Career Level: Senior